Color-based corner detection by color invariance

Gray-based features are widely used for computer vision applications, even when color data is a very important source. In this paper, we present a novel approach for detecting corners based on color information in images. To fully exploit the color data, a color invariant to saturation is first built based on dichromatic reflection model. The invariant is an object reflectance property independent of the viewpoint and illumination direction. Saturation information of the color is then synthesized with hue information to detect corners in color images. An extensive comparison of our detector with existing ones is carried out to validate a better performance in ground-truth verification and repeatability.